1. Project Summary

Our project focused on job recommendation according to four interesting chosen factors, including arrival time for work, location, working hours and commuting means. We investigated their effects on income respectively and helped make a job-decision for your reference. Thus, our team has dug into the relations between following factors:

2. Arrival Time vs. Occupation

2.1 Arrival Time vs. Occupation

From this plot, we can see arrival time is different due to the variety of occupations. Most occupations require an arrival time between 8am and 12pm. Outliers include occupations in the EAT sector, like chefs or waiters, who begin their shifts after noon.

2.2 Arrival Time vs. States

We can see clearly from the plot that most of people arrive at work from 6am to 10am, no matter which state they are working in. More specifically, in most of the states, people arrive at work between 6am and 8am, but In DC, unexpectedly, large amounts of people arrive at 8-10am. Basically, if you want to sleep more and get to work later in the day, you can choose DC as your ideal place to work.

2.3 Arrival Time vs. States/Occupation in Bubble Plots

This Figure is another piece of evidence that DC is an ideal place for work, since it shows that the people who work in DC have the latest arrival time and highest income. Moreover, there is an obvious distinction between DC and other states. This is an interesting point and we will talk about it in the following parts.

As we have mentioned, although the EAT sector has latest arrival time; however it also has a low salary level. Meanwhile, people who work in the LGL sector, like lawyers or judges, earn more but work earlier than others. So we need to make a choice, high salary or get up later?

2.4 Comments

Most of states have their arrival time at regular interval, but DC is different from others. If we consider both arrival time and income factors, DC is also a good choice. So it is suggested to consider DC as the first level in the job selection. For occupational suggestion, LGL sector, such as lawyers and judges, may be some ideal occupations, based on their highest income and top 5 latest arrival time.

3. Location vs. Occupation

3.1 Occupation Overview by US States

The following table shows the top and lowest 10 states with the highest total number of people taking the survey per state, and their top three frequently mentioned occupations per state.

Top 5 populated states (OCCP):

State Top #1 Top #2 Top #3
CA MGR-Miscellaneous Managers 1.7% SAL-Retail Salesperson 1.5% SAL-Cashiers 1.3%
TX EDU-Elementry and Middle-school Teachers 1.9% MGR-Miscellaneous Managers 1.6% SAL-Cashiers 1.5%
NY EDU-Elementry and Middle-school Teachers 1.7% OFF-Secretaries and Adm Assitants 1.7% SAL-Retail Salesperson 1.5%
FL SAL-Retail Salesperson 1.7% MGR-Miscellaneous Managers 1.7% EDU-Elementry and Middle-school Teachers 1.5%
PA OFF-Secretaries and Adm Assitants 1.7% TRN-Drivers/Sales Workers 1.6% SAL-Cashiers 1.5%

From the above tables, we can conclude that the top-populated states sharing the majority of most frequent occupations, such as Miscellanrous Managers, Sales, Cashiers, Elementary and Middle-school Teachers, Secretaries and Assistants, Drivers and Related-sales, and all occpuations’ corresponding percentages are all below 2.0%, which implies

  1. People in high-population states can have more occupation options, thus each occupation percentage is comparatively smaller(to small-scale states).

  2. The larger-population states do not have a specific state-building process focus; in other words, they focus on different fields of their states’ improvement process, instead of one or two specific industries or fields.

Lowest 5 populated states (OCCP):

State Top #1 Top #2 Top #3
WY TRN-Drivers/Sales Workers 2.2% EDU-Elementry and Middle-school Teachers 2% OFF-Secretaries and Adm Assitants 2%
VT EDU-Elementry and Middle-school Teachers 1.8% MGR-Miscellaneous Managers 1.7% SAL-Retail Salesperson 1.6%
DC MGR-Miscellaneous Managers 4.2% LGL-Lawyers, Judges, Magistrates and Other Judicial Workers 3.3% OFF-Secretaries and Adm Assitants 1.7%
AK CLN-Janitros and Building Cleaners 2% MGR-Miscellaneous Managers 1.9% FFF-Fishing and Hunting Workers 1.8%
ND MGR-Farmers, and Other Agricultural Managers 4.4% TRN-Drivers/Sales Workers 2.3% FFF-Miscellaneous Agricultural Workers 1.8%

From the above tables, we can conclude that most of the low-populated states have their own specific focus on states’ industry/occupation fields. For example, in DC, two of the top three occupations are both related to government and law, while in ND, the top three occupations are more related to agriculture. From this fact, we can demonstrate that:

  1. People in low-population states may have less occupation options, thus each occupation percentage is comparatively greater (to large-scale states).

  2. People in low-population states can have more focused industry and fields during the state-building process.

3.2 Average Income Performance Overview by Locations

From the above plots, we can tell that (regardless of occupation or industry) * 1st-teir Average Income States: CT, NJ, MD, DC (all on the east coast of US, and comparatively smaller in population) * 2nd-teir Average Income States: CA, WA, CO, VA, NY, NH (majority are on both the east and west coasts of the US, and comparatively larger in population) * 3rd-teir Average Income States: TX, ND, IL and lower-tiers states are mostly from inland US.

3.3 Average Income Performance Overview by Occupations

From the above plots, we can tell that law-related, engineering-related, finance-related, and business-related occupations earn the highest income.

3.4 Job Recommendation based on Locations

  • People who do not have a specific focus on their career paths should consider living and working in some high-population states, such as CA, TX, NY, etc.
  • People with specific interests in some industries and focus in their career path, they should consider living and working in some low-population states with an industry-specific environment, such as lawyers in DC and farmers in ND, etc.
  • People pursuing higher income should consider living in the states such as CT, NJ, MD, and DC should choose occupations related to Law, Engineering, Finance or Business.

4. Transportation vs. Occupation

In this section, we recommend the ideal job based on the heatmap and treemap below.Depending on your preferred means of transportation and your preferred income, the heatmap and treemap demonstrate a suitable occupation. This section also gives you some information about the income of a specific occupation and means of transportation.

4.1 Heatmap

From the above heatmap above, we can easily find the preferred occupation for each means of transportation to work. On the heatmap, the deeper the blue color is , the higher he income it indicates. Conversely, the deeper the orange color on the grid, the lower income it indicates. For example, for Taxicab, the deepest blue grid is FIN, so the FIN sector is the best occupation for people who use Taxicab to work. Another way to utilize this plot is to have an income reference about a specific combination of means of transportation and occupation. For instance, if you want to work in the sector of SCI and want to commute by Ferryboat, then you are expected to have an annual income of $60,500 .

4.2 Treemap

The above treemap has been divided into 12 large grids. The 12 large grids represent the means of transportation to work. Each large grid contains some small grids which represent occupations; the size of each small grid represents the size of the median income of that specific occupation. The larger the area of the grid is , the greater the median income. The color represents the median travel time; the darker the color, the less median travel time is needed.

For example, if you want to choose bus or trolley bus to commute, you probably want to work in the CMM sector since you are likely to earn a higher income. Additionally, you can consider different occupations in the same means of transportation grid. It is simple to compare the median income and travel time for different occupation. Then you can choose the occupation based on your priorities. Referencing the previous example, you may choose to work in the LGL although it has less income than CMM because it requires less commute time.

4.3 Summary

  • Using the heatmap or treemap, individuals may have the information about the amount of income they expect to earn based on their preferred travel means and occupation.
  • Also, you can find the job with the highest income that fits your travel preferences.
  • You can also consider your priority when choosing an occupation taking into account your commute time and income preferences.

5. Working Hours vs. Occupation

5.1 (Ungrouped) Working Hours by Occupations

The occupation with longest average working hour is Derrick and Mining Machine worker, followed by Military and Lawyer.

On the country, people working in restaurant works least such as cooks or food servers or dishwashers. Then comes people from other service industry, such as Fitness workers, Tour guides, Barbers, etc.

5.2 (Ungrouped) Working Hours, Occupation, vs Income

This is an overview of working hours, occupaion and income, we can see incomes diverse a lot with long working hours while diverse only a little bit with short working hours.

5.3 Grouped Working Hours

This is a careful analysis by deviding working hours into 10 groups. So the income is increasing with the working hours when you do not work so much, but as the working hours exceed 60 hours per week, the trend becomes unclear.

The trend of different occupation differs a lot. For example, for LGL-LAWYERS, AND JUDGES, MAGISTRATES, AND OTHER, it is increasing all the time, while for people work in medical area such as PHYSICIANS AND SURGEONS and for scientist, the income is going down as working hours going up, this phenomenon also appears on many other occupations.

If you prefer regular working hour as 8 hours per day or 40 per week, then the top 5 choices of positions are computer programmers or developers, Engineers,lawyers, scientists and physicians.

If you are fine with long working hours, you can try to be a lawyer, engineer, computer programmer or Derrick and Mining Machine worker.

It seems that for some physical work, people need to work for long hours to earn more money such as Derrick people or construction labor. The longer hours they work, the more they earn.

6. Conclusion

If you hate get up early in morning, you could refer to the Arrival Time vs. Occupation part. If you are free to move to other states to get a higher paid job, you could look at tables in the Location vs. Occupation part. And if you are insterested in transportation preferences, the Transportation vs. Occupation part may help you find a job with short commuting time. The last part, Working Hours vs. Occupation, indicates most occupations don’t provide you most salary for longest working hour. So try to finish your work efficiently.

7. Team Member and Responsibilities: